{"created":"2025-01-19T01:41:48.112201+00:00","updated":"2025-01-19T08:32:30.321088+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00238521","sets":["1164:2735:11468:11707"]},"path":["11707"],"owner":"44499","recid":"238521","title":["多層パーセプトロンおよびARIMAモデルを用いた桜の開花日予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-08-29"},"_buckets":{"deposit":"b282362c-12b4-4fbd-8d98-120064f037ea"},"_deposit":{"id":"238521","pid":{"type":"depid","value":"238521","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"多層パーセプトロンおよびARIMAモデルを用いた桜の開花日予測","author_link":["653154","653155"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"多層パーセプトロンおよびARIMAモデルを用いた桜の開花日予測"}]},"item_type_id":"4","publish_date":"2024-08-29","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"金沢工業大学"},{"subitem_text_value":"金沢工業大学"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/238521/files/IPSJ-MPS24150001.pdf","label":"IPSJ-MPS24150001.pdf"},"date":[{"dateType":"Available","dateValue":"2026-08-29"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS24150001.pdf","filesize":[{"value":"1.9 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"7ca5bce7-8545-45a2-9f33-c3798520bf42","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Trong, Pham Dinh"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"林, 亮子"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"桜は日本人が最も好む花の一つである．毎年 3 月末～4 月の開花シーズンには「花見」と称して桜の花を見る行事があり，さらに花見をしながら野外で飲食する人も多い．花見弁当や花見団子のように，桜の開花に関連する季節限定の商品も多く，桜の開花日を予想することはマーケティングの観点から社会的需要がある．一方で桜の開花を予測する経験則はいくつか知られているが，開花メカニズムには不明な点も多い．桜の開花日は地域ごとに毎年気象庁が観測情報を記録しており，数十年以上の蓄積がある．そこで本発表では，桜の開花日データにデータマイニングを用いて桜の開花日予測を試みる．まず既存研究の追試として気象データと開花日の関係をパーセプトロンで学習し，テストデータで開花日を予測した結果を示す．次に，桜の開花日を時系列データと考え，時系列データの予測手法の一つであるARIMAモデルを用いて予測した結果を紹介する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-08-29","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024-MPS-150"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":238521,"links":{}}